{"id":"W6962389388","doi":"10.15468/dl.xncn5x","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009670329,0.001964668,0.001565816,0.005041981,0.001007624,0.002647178,0.002649321,0.002127657,0.1643992],"category_scores_gemma":[0.006349496,0.0008703434,0.001248272,0.00921202,0.0004305702,0.002397052,0.002556987,0.001962893,0.2302069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524546,"about_ca_system_score_gemma":0.00229847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141128,"about_ca_topic_score_gemma":0.03297372,"domain_scores_codex":[0.9989587,0.0001447134,0.0001310532,0.0003710562,0.0002215961,0.000172881],"domain_scores_gemma":[0.997338,0.000806533,0.0002296824,0.0006862795,0.000649237,0.0002902462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002863067,0.00001170936,0.0003985336,0.0005188612,0.00001327332,0.00001567779,0.00002207044,0.0001192403,0.0001088315,0.0003236569,0.996973,0.001466456],"study_design_scores_gemma":[0.00007206152,0.000009758711,0.001965807,0.000219697,0.00001492006,0.00003996548,0.00008442363,0.0001848461,0.0001947518,0.0007851619,0.9964096,0.0000189204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004543118,0.00002839047,0.00004489431,0.00004241462,0.00001387421,0.000005909284,0.9987634,0.0004385292,0.0006170517],"genre_scores_gemma":[0.0001749679,0.00003616732,0.0002065635,0.00005262214,0.000004309285,0.00004509879,0.9988311,0.0001569935,0.0004921166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356009,"threshold_uncertainty_score":0.54997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}